Description

You will translate business requirements into production-ready Document AI implementations, bridging the gap between technical execution and stakeholder expectations.

This role is on-site.

Responsibilities

• Implement Document AI use cases by converting business needs into production code.
• Manage expectations for business users and provide regular project updates.
• Communicate technical concepts and status to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams to design and deploy ML and NLP solutions.

Required Skills

• 5-8+ years of experience working on machine learning and NLP projects.
• Strong foundation in Machine Learning principles.
• Proficiency in Python and application frameworks such as Django or Flask.
• Practical experience with AWS, including data engineering tools like Step Functions and Glue.
• Experience with SQL and NoSQL databases.
• Hands-on work with microservices and event-driven architectures.
• Familiarity with CI/CD, IaC, and containerization.

Preferred Skills

• AWS Certified Practitioner credentials.

Key Skills

Education

Any Graduate